A Fuzzy Cognitive Map-Based Approach for Understanding Value Creation Mechanisms of Artistic Interventions

2017 ◽  
pp. 74-88
Author(s):  
Daniela Carlucci ◽  
Giovanni Schiuma ◽  
Roberto Linzalone
Keyword(s):  
Value Creation ◽  
Business Performance ◽  
Dynamic Modelling ◽  
Cognitive Map ◽  
Fuzzy Cognitive Map ◽  
Social Changes ◽  
Positive Experience ◽  
Reciprocal Influence ◽  
The Arts ◽  
Artistic Interventions

A number of organizations have started to approach the “arts world” looking for new ways of dealing with the management uncertainties and seeking new approaches in response to social changes and economic pressures. The planned managerial use of Arts-based Initiatives (ABIs) can sustain organisations in their efforts to face today's competitive challenges. But how do ABIs contribute to improve value creation capacity of an organisation? There are several anecdotal evidences from practitioners who tend to emphasize the positive experience that employees report during or after ABIs. However a better understanding of the dynamics linking ABIs to business performance is still required. This study proposes the use of Fuzzy Cognitive Map (FCM) to model and dynamically analyze the integration of ABIs in the operation and strategy of an organisation. Referring to the “Arts Value Map” framework (Schiuma, 2011), the paper suggests the use of FCM as a dynamic modelling tool to analyze the reciprocal influence, simulate and predict the behaviour of factors involved in value creation dynamics.

An Integrated Fuzzy Cognitive Map Approach in Modelling Factors of Management Quality in Banking Performance

2018 ◽  
Vol 21 (3) ◽  
pp. 763-779
Author(s):  
Debmallya Chatterjee ◽  
Amol S. Dhaigude
Keyword(s):  
Internal Control ◽  
Business Performance ◽  
Cognitive Map ◽  
Capital Adequacy ◽  
Influential Factor ◽  
Fuzzy Cognitive Map ◽  
Employee Morale ◽  
Management Quality ◽  
Dynamic Setting ◽  
Asset Quality

Based on the literature review and interviews with experts, this study identifies 11 factors that can effectively capture the management quality dimension of the capital adequacy, asset quality, management quality, earnings, liquidity and sensitivity to market risk (CAMELS) framework in evaluating the performance of banking institutions. It further models these factors using the integrated fuzzy cognitive map (FCM) and Matrice d’Impacts Croisés Multiplication Appliquée a UN Classement (MICMAC) approach. A scenario analysis is then conducted on the proposed model to study the interrelationships between these factors in a dynamic setting. The results suggest that of all the 11 factors identified, the ‘internal control system’ is the most influential factor in determining management soundness, whereas ‘business per employee’ is the most sensitive in which any impact on employee morale could impact business performance. The managerial and practical implications of our study are also discussed.

scholarly journals A HOLISTIC CONCEPTION OF SUSTAINABLE BANKING: ADDING VALUE WITH FUZZY COGNITIVE MAPPING

2018 ◽  
Vol 24 (4) ◽  
pp. 1303-1322 ◽  
Author(s):  
Daniela Carlucci ◽  
Fernando A. F. Ferreira ◽  
Giovanni Schiuma ◽  
Marjan S. Jalali ◽  
Nelson J. S. António
Keyword(s):  
Cognitive Mapping ◽  
Cognitive Map ◽  
Fuzzy Cognitive Map ◽  
Key Factors ◽  
Practical Applications ◽  
Reciprocal Influence ◽  
Lack Of Information ◽  
Banking Activity ◽  
Complex Decision ◽  
Holistic Conception

Integrating sustainability into the banking activity is an increasingly necessary but extremely challenging issue currently facing financial institutions. It is therefore becoming ever more important to understand the key determinants of sustainable banking and how they inter-relate with each other. This research aims to build a cognitive map – a fuzzy cognitive map (FCM) in particular – to model, dynamically analyze and test the reciprocal influence of key factors underlying sustainable banking. FCMs have been shown to be particularly useful for handling complex decision problems characterized by lack of information or unavailable data. They constitute a methodological framework that allows for a reduction of omitted determinants – in this case, with regard to sustainable banking – and are typically able to provide a greater understanding of the cause-and-effect relationships between such determinants. We anticipate implications and practical applications for both bank managers and policymakers aiming to increase the efficiency of their decision making in the context of sustainable banking.

CIRCULAR ECONOMY STRATEGIES FOR ELECTRIC AND ELECTRONIC EQUIPMENT: A FUZZY COGNITIVE MAP

2017 ◽  
Vol 16 (8) ◽  
pp. 1807-1817 ◽  
Author(s):  
Fabiana Tornese ◽  
Maria Grazia Gnoni ◽  
Giorgio Mossa ◽  
Giovanni Mummolo ◽  
Rossella Verriello
Keyword(s):  
Circular Economy ◽  
Cognitive Map ◽  
Electronic Equipment ◽  
Fuzzy Cognitive Map

A preliminary fuzzy cognitive map - based desicion support tool for geriatric depression assessment

2013 ◽  
Author(s):  
Elpiniki I. Papageorgiou ◽  
Antonis S. Billis ◽  
Christos Frantzidis ◽  
Evdokimos I. Konstantinidis ◽  
Panagiotis D. Bamidis
Keyword(s):  
Cognitive Map ◽  
Fuzzy Cognitive Map ◽  
Geriatric Depression ◽  
Support Tool ◽  
Depression Assessment

The prediction of online time series with concept drift based on dynamic intuitionistic fuzzy cognitive map

2021 ◽  
Vol 25 (4) ◽  
pp. 949-972
Author(s):  
Nannan Zhang ◽  
Xixi Yao ◽  
Chao Luo
Keyword(s):  
Fuzzy Set ◽  
Sequence Data ◽  
Concept Drift ◽  
Intuitionistic Fuzzy Set ◽  
Cognitive Map ◽  
Fuzzy Cognitive Maps ◽  
Fuzzy Cognitive Map ◽  
Online Data ◽  
Intuitionistic Fuzzy ◽  
Public Data

Fuzzy cognitive maps (FCMs) have widely been applied for knowledge representation and reasoning. However, in real life, reasoning is always accompanied with hesitation, which is deriving from the uncertainty and fuzziness. Especially, when processing the online data, since the internal and external interference, the distribution and characteristics of sequence data would be considerably changed along with the passage of time, which further increase the difficulty of modeling. In this article, based on intuitionistic fuzzy set theory, a new dynamic intuitionistic fuzzy cognitive map (DIFCM) scheme is proposed for online data prediction. Combined with a novel detection algorithm of concept drift, the structure of DIFCM can be adaptively updated with the online learning scheme, which can effectively improve the representation of online information by capturing the real-time changes of sequence data. Moreover, in order to tackle with the possible hesitancy in the process of modeling, intuitionistic fuzzy set is applied in the construction of dynamic FCM, where hesitation degree as a quantitative index explicitly expresses the hesitancy. Finally, a series of experiments using public data sets verify the effectiveness of the proposed method.

Yield prediction in apples using Fuzzy Cognitive Map learning approach

2013 ◽  
Vol 91 ◽  
pp. 19-29 ◽  
Author(s):  
E.I. Papageorgiou ◽  
K.D. Aggelopoulou ◽  
T.A. Gemtos ◽  
G.D. Nanos
Keyword(s):  
Cognitive Map ◽  
Fuzzy Cognitive Map ◽  
Learning Approach ◽  
Yield Prediction ◽  
Map Learning
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